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As someone who works at Crutchfield, I really appreciate the props. Customer support during the entire shopping experience is a huge priority for everyone here. Bill Crutchfield's relentless focus on the customer experience is legendary.


Crutchfield, Charlottesville, VA; http://www.crutchfield.com

Front End Web Developer / Designer

Crutchfield is looking for a talented software developer who doesn’t fear javascript and new web technologies, and who is very enthusiastic at the idea of bringing e-commerce to the next level. We like to think of the proper candidate as 85% front-end mechanic, 15% designer.

* You will be involved in all phases of the software’s development and will be responsible for planning features, designing its components, programming and more * You will design the software and architecture, and requirements to build Crutchfields' next generation of ecommerce solutions * Develop using mainly JavaScript, HTML 5, CSS 3, Angular and Bootstrap Skills & Requirements * Deep knowledge of JavaScript / jQuery, HTML 5 & CSS 3 * Knowledge of Angular and/or Ember is an asset * Experience with a server side framework (.NET, PHP, Rails, etc.) is desired * Keen understanding of responsive front-end frameworks, cross-browser user interfaces / browser limitations, modern web technologies, web security, SEO & more * Experienced building and scaling consumer oriented web applications * Attention to details and strong commitment to quality * Experienced with modern software development principles and processes, frameworks, and version control systems * Have previously built web applications from A to Z a plus * Experienced with eCommerce a big plus

We offer our employees a competitive benefits package, a wellness program, a challenging work environment and a relaxed dress code.

Please apply here: https://home.eease.adp.com/recruit2/?id=9691891&t=1



When it comes to Management, I have to second vellum's advice and go with Drucker:


Classic (Mad Men era) of Marketing is ruled by Ogilvy:


However, I cannot stress enough the role of analytics in modern business strategy/marketing and Kaushik's book is the best:



The entire post was enjoyable but I found the last paragraph to have the most actionable advice:

What’s much more useful is recording what the deep insights are, and storing them for recollection later. Because every important mathematical idea has a deep insight, and these insights are your best friends. They’re your mathematical “nose,” and they’ll help guide you through the mansion.


Additional commentary on the Google pager from a practical marketing point of view:



Spot on, about caring about conversions, not the click through rate.

Also true that this seems like a nuclear grade weapon. We have a system at optimine that is similar in a lot of ways, but also a lot less complex. Of course we are representing the advertiser side of the equation so, completely different design goals.


I wouldn't classify this as "nuclear grade", not in the least. I've seen the gentleman in the cubicle next to mine use more sophisticated simulations than this to model whether there will be fresh coffee in the pot when he gets to work.

In fact, I was surprised at the simplicity of the technique they demonstrate. Logistic regression is a very powerful method, but it is generally chosen because it is simple to implement and both fast to train and reliable to train (there are no issues with whether or when it will converge).

Of course, as is almost always true of machine learning, knowing how the mechanism works is almost completely unhelpful to duplicate the results. Although this technique is does some pretty innovative things, it would be pretty trivial to achieve the same quality results if you didn't know their technique, but you did know what the feature set was (including any preprocessing and cleanup done on features). However, this system seems designed to give good enough results with extremely agressive performance SLAs, which I suspect is very nontrivial indeed.


Before you blacklist the IPs listed in the article, it might be worthwhile to query your transactional history and verify real purchases are not occurring on those addresses.

When I did this, a few of the IPs had a significant number of orders. Interestingly, the IP with the most orders mapped to E! corporate headquarters.



If you're interested in the work being done to understand Indus script, Rajesh Rao delivered a TED talk with plenty of machine learning goodness:



Rao's claims are nonsense, according to computational linguist Richard Sproat (Bell Labs, University of Illinois, OHSU, now at Google):



...and the counterargument has been debunked too. A lot of complaints were just ad hominem attack alleging Tamil supremacy, Tamil ethnocentrism. The first note of dicord that strikes you as an Indian is that bar one, all authors of that paper were from North India. If any Tamil bias is expected from that rergion it would be a bias against Tamil.

I dont know why Rao's claim (well they arent quite claims either, not yet atleast, they are rather a call for further investigation) have been so spectacularly blown out of proportion and why people get so upset about it.

Sproat at least does not say that Rao in any form claimed that his work "proves" anything one way or the other, rather that it was the "discussion" around the paper that claims a proof. I would have been happier if that distinction was made clearer.

In anycase if you search HN you will find an interesting thread discussing this topic. Learned quite a bit from it.

Here is the previous discussion http://news.ycombinator.com/item?id=4061748 and some here as well


EDIT: @kylebgorman I dont consider myself qualified enough to agree or disagree, but have to say that I was taken aback by the push back it received, particulay the vociferous allegation of Tamil supremacy.

EDIT @kylebgorman wait I didnt say that the paper or the criticism was ethnically biased, but that ethnic bias was a major criticism that was levied against Rao's paper. This comment on the thread will have some examples http://news.ycombinator.com/item?id=4062129 rebuttals, counter rebuttals, , counter-counter... you get the idea.


The many computational linguists who have discussed these papers in public fora have expressed disgust with the scientific naïveity of the Rao et al. paper; the pushback is due to its very poor scientific merits (in contrast with its very high publication profile), not some ethnic bias as you seem to allege.


Whether or not there is a claim that Rao et al. were driven by "ethnocentrism" (I do not think this is the word you are looking for), do you dispute the facts I linked to?


Using twilio, we implemented SMS package delivery confirmation (via UPS) and our customers love it.


Decision trees have proven to be sucessful in direct marketing/ecommerce applications such as incremental response modeling. Because of their explicit nature, decision trees trees can be used for workflow optimization in industrial environments as well.


Kurt mentions it early in the article, but I have to also recommend "Building data science teams" by Patil:



I'm hoping to write a couple of follow-up posts talking about some of the trade-offs that you're going to have to make when you're a startup that doesn't have the resources of a Facebook or a LinkedIn. It's difficult to do everything in that (admittedly great) article if your resources are limited.


I'm a data scientist. What sort of resources could I provide to the startup communities? Is it just consulting needs or could I provide an "data science" API?



The article is one of the best ever written on the topic.



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